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Related Experiment Video

Updated: Jun 8, 2026

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Reducing errors during patient-controlled analgesia therapy through failure mode and effects analysis.

Janet Moss1

  • 1Advocate Christ Medical Center, Oak Lawn, Illinois, USA. janet.moss@advocatehealth.com

Joint Commission Journal on Quality and Patient Safety
|September 24, 2010
PubMed
Summary

Failure Mode and Effects Analysis (FMEA) reduced patient-controlled analgesia (PCA) errors by 69%. While significant, misprogramming drug concentrations remains a challenge, requiring advanced infusion pump technology for improved patient safety.

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Last Updated: Jun 8, 2026

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Area of Science:

  • Medical Informatics
  • Patient Safety
  • Pharmacology

Background:

  • Patient-controlled analgesia (PCA) remains a significant source of medication errors in intravenous drug administration, despite advancements in "smart" pump technology.
  • A Failure Mode and Effects Analysis (FMEA) was conducted in 2003 at a large teaching hospital to assess and improve the PCA process.
  • Key failure modes identified in patient selection, prescribing, and medication administration processes were targeted for redesign to enhance safety.

Purpose of the Study:

  • To assess the effectiveness of Failure Mode and Effects Analysis (FMEA) in reducing medication errors associated with patient-controlled analgesia (PCA).
  • To identify and address specific failure modes within the PCA process to improve patient safety and reduce adverse events.
  • To evaluate the impact of implemented corrective actions on the incidence of PCA errors.

Main Methods:

  • A Failure Mode and Effects Analysis (FMEA) was performed on the patient-controlled analgesia (PCA) process.
  • Hazard scores were used to prioritize failure modes in patient selection, prescribing, and medication administration.
  • Process redesign was implemented to eliminate identified potential causes of errors.

Main Results:

  • Prior to FMEA implementation (Jan-May 2003), 11 PCA errors were reported (extrapolated to 26 for the year).
  • Following corrective actions in 2004, 22 PCA errors were reported.
  • After implementing an online reporting system in October 2007, PCA errors decreased to 8 (Oct 2007-Sep 2008), a 69% reduction from baseline, with no serious adverse events.

Conclusions:

  • Failure Mode and Effects Analysis (FMEA) significantly reduced PCA errors, demonstrating its value in improving patient safety.
  • Despite reductions, misprogramming of drug concentration remains a common PCA error, necessitating further technological solutions like safety software and barcode readers.
  • FMEA can identify and lead to resolutions for issues beyond its initial scope, such as equipment maintenance systems.